Organizational Acceptance of Artificial Intelligence : Identification of AI Acceptance Factors Tailored to the German Financial Services Sector / / by Diana Bengel

• Record Nr.: UNINA9910411928103321
• Autore: Bengel Diana
• Pubbl/distr/stampa: Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Gabler, , 2020
• ISBN: 3-658-30794-3
• Edizione: [1st ed. 2020.]
• Descrizione fisica: 1 online resource (56 pages)
• Disciplina: 332.0285554
• Soggetti: Bank marketing; Information technology; Business—Data processing; Business enterprises—Finance; Financial Services; IT in Business; Business Finance
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Introduction -- Literature Review -- Methodology of Research -- Research Findings -- Conclusion -- List of References -- Appendix.
• Sommario/riassunto: The book investigates the determinants which are influencing the acceptance of artificial intelligence (AI) in an organizational context, focusing on the German financial services industry. An AI-specific acceptance model is being developed based on technology acceptance models as well as being enriched with practical insights from industry experts. Ultimately, the acceptance of artificial intelligence is influenced by multiple, interrelated variables, which can be classified into five major dimensions: organizational, individual, financial, technological and societal factors.